Data Engineer
Summary
Data Engineer for an established financial services company, working remotely across the UK with occasional London travel. You'll build a cloud Lakehouse platform on Azure, develop governed ELT pipelines and Power BI data models, and help productionise ML models for pricing, risk and performance analytics. Salary up to £85k plus bonus and benefits.
Location: Remote (UK), with occasional travel to London
Salary: Upto 85k + bonus + benefits
Our client, an established financial services company, are looking to hire a Data Engineer to join the team. You'll take a hands-on role developing a cloud-based Lakehouse platform on Azure, helping analytics teams make faster and better-informed commercial decisions. They're looking for someone who enjoys both the technical build and working closely with the business.
The role
- Develop and enhance a central Lakehouse platform supporting pricing, risk and performance analytics
- Build, test and deploy ELT pipelines and data products with strong governance
- Assess the impact of change on the data model and handle new requests and incidents
- Work with architects, analysts and engineers to maintain data standards and quality
- Provide trusted, well-structured data for MI and reporting
- Partner with data scientists to productionise ML models
- Deliver improvements in an Agile / DevOps environment
Requirements:
- 5+ years in data engineering and building data pipelines
- Strong Lakehouse and data management knowledge
- Strong Python and SQL
- Dimensional modelling (star schema) for Power BI
- Insurance or financial services data, MI or reporting experience
- Solid grasp of CI/CD and data operations
- Confident communicator, well organised and commercially minded
Nice to have
- Infrastructure-as-code tooling